Code
import networkx as nx
import plotly.graph_objects as go
# Create a Watts–Strogatz small-world network
G = nx.watts_strogatz_graph(n=30, k=4, p=0.1)
# Calculate a 3D layout for the nodes
pos_3d = nx.spring_layout(G, dim=3, seed=42)
# Extract node coordinates
x_nodes = []
y_nodes = []
z_nodes = []
for node in G.nodes():
x_nodes.append(pos_3d[node][0])
y_nodes.append(pos_3d[node][1])
z_nodes.append(pos_3d[node][2])
# Build edge coordinate lists for Plotly
edge_x = []
edge_y = []
edge_z = []
for edge in G.edges():
x0, y0, z0 = pos_3d[edge[0]]
x1, y1, z1 = pos_3d[edge[1]]
# Plotly needs a break (None) to start a new line for each edge
edge_x += [x0, x1, None]
edge_y += [y0, y1, None]
edge_z += [z0, z1, None]
# Create a Plotly trace for edges
edge_trace = go.Scatter3d(
x=edge_x, y=edge_y, z=edge_z,
mode='lines',
line=dict(color='lightblue', width=2),
hoverinfo='none'
)
# Create a Plotly trace for nodes
node_trace = go.Scatter3d(
x=x_nodes, y=y_nodes, z=z_nodes,
mode='markers',
marker=dict(symbol='circle', size=5, color='pink'),
text=[f"Node {n}" for n in G.nodes()],
hoverinfo='text'
)
# Combine the traces into a figure
fig = go.Figure(
data=[edge_trace, node_trace],
layout=go.Layout(
title="Small-World Network in 3D (Plotly)",
showlegend=False,
scene=dict(
xaxis=dict(showbackground=False),
yaxis=dict(showbackground=False),
zaxis=dict(showbackground=False)
)
)
)
fig.show()
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